KFU. Card publication. The Fractal Analysis of the Images and Signals in Medical Diagnostics

KAZAN
FEDERAL UNIVERSITY

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- 中文
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THE FRACTAL ANALYSIS OF THE IMAGES AND SIGNALS IN MEDICAL DIAGNOSTICS

Form of presentation

International monographs

Year of publication

2017

Язык

английский

Authors, employees of KFU

Rusanova Inna Aleksandrovna, author

Tayurskiy Dmitriy Albertovich, author

Bibliographic description in the original language

The Fractal Analysis of the Images and Signals in Medical Diagnostics/ D.A.Tayurskii and I.A.Rusanova// - Fractal Analysis, Applications in Health Sciences and Social Sciences, Dr. Fernando Brambila (Ed.) ISBN 978-953-51-3214-1, InTech, 2017. - Chapter 3. - P. 57-86.

Annotation

In the present chapter, we summarize our results concerning fractal analysis of some medical data. The aim of this study is to identify the inherent human body ?chaotic? dynamics and insufficient disclosure of the physical essence of the processes observed, depending on the extent of developing a pathology that is characterized by a decrease or increase in the degree of complexity and as a consequence?randomness, for which, in some cases, hidden fractal. The proposed approach based on identifying the presence of the properties of self-similarity can be useful in preliminary clinical trials for the diagnosis of cancerous epithelial diseases, blood, and liver in the initial stage, the analysis of digital images, the structure of correlations biomedical parameters, as well as in the study of pathologies of the central nervous system?the neurological, neurodegenerative disorders, psychiatric disorders.

Keywords

fractal dimension, EEG signals, magnetoencephalography signals, photo- sensitive epilepsy, malignant tissue, leukemia, brain-computer

URL

https://www.intechopen.com/books/fractal-analysis-applications-in-health-sciences-and-social-sciences/the-fractal-analysis-of-the-images-and-signals-in-medical-diagnostics

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=161853&p_lang=2

Resource files

File name	Size (MB)	Format
55028.pdf	5,88	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Rusanova Inna Aleksandrovna	ru_RU
dc.contributor.author	Tayurskiy Dmitriy Albertovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	The Fractal Analysis of the Images and Signals in Medical Diagnostics/ D.A.Tayurskii and I.A.Rusanova// - Fractal Analysis, Applications in Health Sciences and Social Sciences, Dr. Fernando Brambila (Ed.) ISBN 978-953-51-3214-1, InTech, 2017. - Chapter 3. - P. 57-86.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=161853&p_lang=2	ru_RU
dc.description.abstract	In the present chapter, we summarize our results concerning fractal analysis of some medical data. The aim of this study is to identify the inherent human body ?chaotic? dynamics and insufficient disclosure of the physical essence of the processes observed, depending on the extent of developing a pathology that is characterized by a decrease or increase in the degree of complexity and as a consequence?randomness, for which, in some cases, hidden fractal. The proposed approach based on identifying the presence of the properties of self-similarity can be useful in preliminary clinical trials for the diagnosis of cancerous epithelial diseases, blood, and liver in the initial stage, the analysis of digital images, the structure of correlations biomedical parameters, as well as in the study of pathologies of the central nervous system?the neurological, neurodegenerative disorders, psychiatric disorders.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	fractal dimension	ru_RU
dc.subject	EEG signals	ru_RU
dc.subject	magnetoencephalography signals	ru_RU
dc.subject	photo- sensitive epilepsy	ru_RU
dc.subject	malignant tissue	ru_RU
dc.subject	leukemia	ru_RU
dc.subject	brain-computer	ru_RU
dc.title	The Fractal Analysis of the Images and Signals in Medical Diagnostics	ru_RU
dc.type	International monographs	ru_RU